BBL 606 - Data Mining

Course Objectives

To introduce students to basic applications, concepts, and techniques of data mining. To gain experience doing independent study and research.

Course Description

Introduction to Data Mining. Survey of data mining applications, techniques and models. Data mining steps: Define goal, data cleaning, data selection and preprocessing, data reduction and data transformation, select data mining algorithm, model assessment, interpretation. Exploration of data mining algorithms: decision trees, regression, association rules, memory based methods, k-nearest neighbor method, clustering, artificial neural networks.